IDEAS home Printed from https://ideas.repec.org/r/eee/jaecon/v25y1998i2p195-214.html
   My bibliography  Save this item

Do nonlinearity, firm-specific coefficients, and losses represent distinct factors in the relation between stock returns and accounting earnings?

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Gilles Hilary & Charles Hsu & Rencheng Wang, 2014. "Management Forecast Consistency," Journal of Accounting Research, Wiley Blackwell, vol. 52(1), pages 163-191, March.
  2. Du, Kai & Huddart, Steven & Xue, Lingzhou & Zhang, Yifan, 2020. "Using a hidden Markov model to measure earnings quality," Journal of Accounting and Economics, Elsevier, vol. 69(2).
  3. Andrew Worthington & Tracey West, 2000. "A Review and Synthesis of the Economic Value-Added Literature," School of Economics and Finance Discussion Papers and Working Papers Series 075, School of Economics and Finance, Queensland University of Technology.
  4. Gomes, Armando & Gorton, Gary & Madureira, Leonardo, 2007. "SEC Regulation Fair Disclosure, information, and the cost of capital," Journal of Corporate Finance, Elsevier, vol. 13(2-3), pages 300-334, June.
  5. Hurwitz, Helen, 2017. "The understatement of large negative earnings news in managers’ annual guidance," Journal of Contemporary Accounting and Economics, Elsevier, vol. 13(2), pages 119-133.
  6. Hae mi Choi, 2014. "When Good News Is Not So Good: Economy-wide Uncertainty and Stock Returns," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 41(9-10), pages 1101-1123, November.
  7. Li, Zhuo & Wen, Fenghua & Huang, Zhijian James, 2023. "Asymmetric response to earnings news across different sentiment states: The role of cognitive dissonance," Journal of Corporate Finance, Elsevier, vol. 78(C).
  8. Shih, Michael, 2019. "Investor skepticism and the incremental effects of small positive sales surprises," Journal of Economics and Business, Elsevier, vol. 106(C).
  9. Guojin Gong & Laura Y. Li & Jeff J. Wang, 2011. "Serial Correlation in Management Earnings Forecast Errors," Journal of Accounting Research, Wiley Blackwell, vol. 49(3), pages 677-720, June.
  10. Russell Calk & Paul Haensly & Mary Jo Billiot, 2007. "The Effect of Returns History on the Current Period Relation Between Returns and Unexpected Earnings," Accounting Research Journal, Emerald Group Publishing Limited, vol. 20(1), pages 5-20, July.
  11. C. José García Martín & Begoña Herrero Piqueras & Ana María Ibáñez Escribano, 2016. "The informational role of thin options markets: Empirical evidence from the Spanish case," Estudios de Economia, University of Chile, Department of Economics, vol. 43(2 Year 20), pages 233-263, December.
  12. Karl E. Hackenbrack & Chris E. Hogan, 2002. "Market Response to Earnings Surprises Conditional on Reasons for an Auditor Change," Contemporary Accounting Research, John Wiley & Sons, vol. 19(2), pages 195-223, June.
  13. Zhuo Li & Meiyu Tian & Guangda Ouyang & Fenghua Wen, 2021. "Relationship between investor sentiment and earnings news in high‐ and low‐sentiment periods," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2748-2765, April.
  14. S. P. Kothari & Charles Wasley, 2019. "Commemorating the 50‐Year Anniversary of Ball and Brown (1968): The Evolution of Capital Market Research over the Past 50 Years," Journal of Accounting Research, Wiley Blackwell, vol. 57(5), pages 1117-1159, December.
  15. Li Xiong & Xiaoliang Long & Zhaoran Xu, 2022. "Cumulative Effect, Targeted Poverty Alleviation, and Firm Value: Evidence from China," Sustainability, MDPI, vol. 14(15), pages 1-17, July.
  16. Ngoc Hung Dang & Thi Viet Ha Hoang & Manh Dung Tran, 2017. "The Relationship Between Accounting Information in the Financial Statements and the Stock Returns of Listed Firms in Vietnam Stock Exchange," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(10), pages 1-10, October.
  17. Robert Freeman & Adam Koch & Haidan Li, 2011. "Can historical returns-earnings relations predict price responses to earnings news?," Review of Quantitative Finance and Accounting, Springer, vol. 37(1), pages 35-62, July.
  18. Michael S. Drake & Darren T. Roulstone & Jacob R. Thornock, 2012. "Investor Information Demand: Evidence from Google Searches Around Earnings Announcements," Journal of Accounting Research, Wiley Blackwell, vol. 50(4), pages 1001-1040, September.
  19. Edmund Keung & Zhi‐Xing Lin & Michael Shih, 2010. "Does the Stock Market See a Zero or Small Positive Earnings Surprise as a Red Flag?," Journal of Accounting Research, Wiley Blackwell, vol. 48(1), pages 105-136, March.
  20. Jennifer L. Blouin & Jana Smith Raedy & Douglas A. Shackelford, 2003. "Capital Gains Taxes and Equity Trading: Empirical Evidence," Journal of Accounting Research, Wiley Blackwell, vol. 41(4), pages 611-651, September.
  21. Truong, Cameron & Corrado, Charles & Chen, Yangyang, 2012. "The options market response to accounting earnings announcements," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(3), pages 423-450.
  22. Choi, Hae Mi, 2019. "Market uncertainty and trading volume around earnings announcements," Finance Research Letters, Elsevier, vol. 30(C), pages 14-22.
  23. Dong, Bei & Robinson, Dahlia & Robinson, Michael, 2015. "The market's response to earnings surprises after first-time going-concern modifications," Advances in accounting, Elsevier, vol. 31(1), pages 21-32.
  24. Jennifer Conrad & Bradford Cornell & Wayne R. Landsman, 2002. "When Is Bad News Really Bad News?," Journal of Finance, American Finance Association, vol. 57(6), pages 2507-2532, December.
  25. Bin Li, 2021. "Separating Information About Cash Flows from Information About Risk in Losses," Management Science, INFORMS, vol. 67(6), pages 3570-3595, June.
  26. Thomas Hemmer & Eva Labro, 2019. "Management by the Numbers: A Formal Approach to Deriving Informational and Distributional Properties of “Unmanaged” Earnings," Journal of Accounting Research, Wiley Blackwell, vol. 57(1), pages 5-51, March.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.